CN103491440B - A kind of method that intelligent television startup channel automatically selects - Google Patents
A kind of method that intelligent television startup channel automatically selects Download PDFInfo
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Abstract
The present invention relates to a kind of method that intelligent television startup channel automatically selects, described method collects the information of viewing channel in user nearest N continuous (2≤N≤15) sky by data collection module, and set out record by data analysis module and have each time period user in user one day most to want to see the preferable channel information table of channel, user starts shooting when watching TV, the start selection channel of intelligent television can be according to being currently located unit interval section, automatically switch to user's most likely wanted to see channel, it is achieved startup channel automatically selects.
Description
Technical field
The present invention relates to a kind of method that intelligent television startup channel automatically selects.
Background technology
When user starts shooting and watches TV at present, the channel when channel of appearance is to shut down last time.And user watches TV Festival
Mesh often has fixing viewing to be accustomed to, and this custom is with time correlation, and turning on TV the most sometime is exactly
Watch certain channel, but user is started shooting and is required for just being jumped to by remote controller want to see through often after viewing TV at present
Channel, the most loaded down with trivial details and time-consuming.
Summary of the invention
It is an object of the invention to provide a kind of method that intelligent television startup channel automatically selects, the method is opened user
During machine viewing TV, according to user, intelligent television can see that the custom of TV automatically selects user's most likely wanted to see channel.
For achieving the above object, the present invention is by the following technical solutions:
A kind of method that intelligent television startup channel automatically selects, described intelligent television includes data collection module, data
Memory module, data analysis module, startup channel select module；Described method specifically includes following steps: 1), data collection mould
When in block collection N continuous sky, user watches TV every day, always watching of each channel that in each unit interval section, user watches
Time, 2≤N≤15, described unit interval section is the time interval of adjacent two time integral points, always receives in described unit interval section
Time of seeing the longest channel is behavior channel；
2), data collection module the above-mentioned information collected is arranged, generate user in N continuous sky and watch electricity every day
Depending on behavior channel information table, and be sent to data memory module and store, described behavior channel information table record N continuous
In it every day each unit interval section behavior channel.
3), data analysis module calls in data memory module the behavior channel information table of storage, and according to behavior channel
Information table carries out weight calculation and generates preferable channel information table, and the preferable channel information table after generation is sent to data memory module
Store, the preferable channel of each unit interval section in record a day in described preferable channel information table, described preferable frequency
Road is the behavior channel that accumulated weight value is maximum in the unit time period；
4), user start shooting next time viewing TV time, startup channel select module determine the list being currently located according to RTC clock
Bit time section, automatically switches to should the preferable channel of unit interval section further according to preferable channel information table.
Further, described step 3) generates preferable channel information table method particularly includes: when 11≤N≤15, institute
The formula stating weight calculation is: S=a × M+b × K+c × L,
Wherein, S is that in one day, in certain unit interval section, user watches the accumulated weight value of certain behavior channel, by N continuous sky
Being divided into three phases, wherein the 1st day was the first stage to the 5th day, and the 6th day to the 10th day is second stage, and the 11st day to the N days
For the phase III.
L is total natural law that user watches described behavior channel in described unit interval section in the first stage, and c is the first rank
In section, user watches the weighted value of described behavior channel in described unit interval section；
K is total natural law that user watches described behavior channel in described unit interval section in second stage, and b is second-order
In section, user watches the weighted value of described behavior channel in described unit interval section；
M is total natural law that user watches described behavior channel in described unit interval section in the phase III, and a is the 3rd rank
In section, user watches the weighted value of described behavior channel in described unit interval section；
Wherein a ＞ b ＞ c, and a+b+c=1；
Described data analysis module calculate one day according to above-mentioned weight calculation formula in each all row of unit interval section
For the accumulated weight value of channel, and it is single that the behavior channel that each unit interval section accumulated weight value is maximum is respectively set as each
The preferable channel of bit time section；Wherein, if unit interval section exists the behavior frequency that two or more accumulated weight value is identical and maximum
Road, then in that day of viewing TV of being started shooting near user on the date and have accumulated weight value in this unit interval section maximum
Behavior channel as the preferable channel of this unit interval section.
Further, described step 3) generates preferable channel information table method particularly includes: when 6≤N≤10, described
The formula of weight calculation is: S=b × K+c × L,
Wherein, S is that in one day, in certain unit interval section, user watches the accumulated weight value of certain behavior channel, by N continuous sky
Being divided into two stages, wherein the 1st day was the first stage to the 5th day, and the 6th day was second stage to the N days；
L is total natural law that user watches described behavior channel in described unit interval section in the first stage, and c is the first rank
In section, user watches the weighted value of described behavior channel in described unit interval section；
K is total natural law that user watches described behavior channel in described unit interval section in second stage, and b is second-order
In section, user watches the weighted value of described behavior channel in described unit interval section；
Wherein b ＞ c, and b+c=1；
Described data analysis module calculate one day according to above-mentioned weight calculation formula in each all row of unit interval section
For the accumulated weight value of channel, and it is single that the behavior channel that each unit interval section accumulated weight value is maximum is respectively set as each
The preferable channel of bit time section；Wherein, if unit interval section exists the behavior frequency that two or more accumulated weight value is identical and maximum
Road, then in that day of viewing TV of being started shooting near user on the date and have accumulated weight value in this unit interval section maximum
Behavior channel as the preferable channel of this unit interval section.
Further, described step 3) generates preferable channel information table method particularly includes: when 2≤N≤5, described
The formula of weight calculation is: S=M,
Wherein, S is that in one day, in certain unit interval section, user watches the accumulated weight value of certain behavior channel, M be the 1st day extremely
The total natural law watching described behavior channel in N days；
Described data analysis module calculate one day according to above-mentioned weight calculation formula in each all row of unit interval section
For the accumulated weight value of channel, and it is single that the behavior channel that each unit interval section accumulated weight value is maximum is respectively set as each
The preferable channel of bit time section；Wherein, if unit interval section exists the behavior frequency that two or more accumulated weight value is identical and maximum
Road, then in that day of viewing TV of being started shooting near user on the date and have accumulated weight value in this unit interval section maximum
Behavior channel as the preferable channel of this unit interval section.
The present invention uses above technical scheme, collects user nearest N continuous (2≤N≤15) sky by data collection module
In the information of viewing channel, and set out record by data analysis module and have in user one day each time period user most want to see
The preferable channel information table of channel, user starts shooting when watching TV, and the start selection channel of intelligent television can be according to current institute
In unit interval section, automatically switch to user's most likely wanted to see channel, it is achieved startup channel automatically selects.
Accompanying drawing explanation
Below in conjunction with the drawings and specific embodiments, the present invention is described in further details；
Fig. 1 is the structured flowchart of intelligent television of the present invention.
Detailed description of the invention
The method that the present invention a kind of intelligent television startup channel automatically selects, as it is shown in figure 1, described intelligent television includes number
Module 4 is selected according to collection module 1, data memory module 2, data analysis module 3, startup channel；Described method specifically include with
Lower step: 1), data collection module 1 collect user in N continuous sky when watching TV every day, in each unit interval section, user receives
Total watch time of each channel seen, 2≤N≤15, described unit interval section is the time interval of adjacent two time integral points,
The channel that in described unit interval section, total watch time is the longest is behavior channel；
2), data collection module 1 the above-mentioned information collected is arranged, generate user in N continuous sky and watch every day
The behavior channel information table of TV, and be sent to data memory module 2 and store, described behavior channel information table record even
In continuous N days every day each unit interval section behavior channel；Concrete, if 18 .-19 these unit interval sections in January 1
In, user watched channel A, channel B and channel C, and total watch time of channel A, channel B and channel C is respectively 25.2
Minute, 20.3 minutes, 14.5 minutes, owing to the total watch time of channel A is the longest, then channel A is just set as by data analysis module 3
The behavior channel of 18 .-19 these unit interval sections in January 1, can generate in January 1 other each according to above method
The behavior channel of time period, thus generate user's behavior channel information table on January 1 this day, during each unit of other dates
Between the behavior channel of section formed according to the method described above.
3), data analysis module 3 calls in data memory module 2 the behavior channel information table of storage, and according to behavior frequency
Road information table carries out weight calculation and generates preferable channel information table, and the preferable channel information table after generation is sent to data storage mould
Block 2 stores, the preferable channel of each unit interval section, described ideal in record one day in described preferable channel information table
Channel is the behavior channel that accumulated weight value is maximum in the unit time period；
4), user start shooting viewing TV time, startup channel select module 4 determine the unit being currently located according to RTC clock
Time period, automatically switch to should the preferable channel of unit interval section further according to preferable channel information table.
Further, described step 3) generates preferable channel information table method particularly includes: when 11≤N≤15, institute
The formula stating weight calculation is: S=a × M+b × K+c × L, and wherein, S is that in one day, in certain unit interval section, user watches certain row
For the accumulated weight value of channel, N continuous sky being divided into three phases, wherein the 1st day was the first stage to the 5th day, the 6th day to
Within 10 days, being second stage, the 11st day was the phase III to the N days.
L is total natural law that user watches described behavior channel in described unit interval section in the first stage, and c is the first rank
In section, user watches the weighted value of described behavior channel in described unit interval section；
K is total natural law that user watches described behavior channel in described unit interval section in second stage, and b is second-order
In section, user watches the weighted value of described behavior channel in described unit interval section；
M is total natural law that user watches described behavior channel in described unit interval section in the phase III, and a is the 3rd rank
In section, user watches the weighted value of described behavior channel in described unit interval section；
Wherein a ＞ b ＞ c, and a+b+c=1；
Described data analysis module 3 calculate one day according to above-mentioned weight calculation formula in each all row of unit interval section
For the accumulated weight value of channel, and it is single that the behavior channel that each unit interval section accumulated weight value is maximum is respectively set as each
The preferable channel of bit time section；Wherein, if unit interval section exists the behavior frequency that two or more accumulated weight value is identical and maximum
Road, then in that day of viewing TV of being started shooting near user on the date and have accumulated weight value in this unit interval section maximum
Behavior channel as the preferable channel of this unit interval section.Concrete, as shown in the behavior channel information table of table 1, wherein N=
13,
| Date | The behavior channel of 18-19 point |
| January 1 | Channel A |
| January 2 | Channel B |
| January 3 | Channel A |
| January 4 | Channel A |
| January 5 | Channel C |
| January 6 | Channel A |
| January 7 | Channel B |
| January 8 | Channel A |
| January 9 | Channel B |
| January 10 | Channel A |
| January 11 | Channel B |
| January 12 | Channel C |
| January 13 | Channel A |
Table 1
Table 1 have recorded January 1 to the behavior channel of 18-19 this unit interval section of point on continuous 13 days of January 13, wherein 1
The moon 1 was the first stage to January 5, and January 6 was second stage to January 10, and January 11 was the phase III to January 13；
Set c=0.2, b=0.3, a=0.5, wherein in the first stage this unit interval of 18-19 point section user viewing channel A, channel B,
Total natural law of channel C is respectively 3,1,1, in second stage this unit interval of 18-19 point section user viewing channel A, channel B,
Total natural law of channel C is respectively 3,2,0, in the phase III this unit interval of 18-19 point section user viewing channel A, channel B,
Total natural law of channel C is respectively 1,1,1,
Then the accumulated weight value of channel A is: S=0.5 × 1+0.3 × 3+0.2 × 3=2,
Then the accumulated weight value of channel B is: S=0.5 × 1+0.3 × 2+0.2 × 1=1.3,
Then the accumulated weight value of channel C is: S=0.5 × 1+0.3 × 0+0.2 × 1=0.7,
Owing to the accumulated weight value of channel A is maximum, then this unit interval section of 18-19 point in channel A being set as a day
Preferable channel, the preferable channel of this day other unit time period generates according to upper type.When user is at 18-19 point on January 14
Between start time, startup channel select module 4 channel A can be selected to be startup channel.
Described step 3) generates preferable channel information table method particularly includes: when 6≤N≤10, described weight calculation
Formula be: S=b × K+c × L,
Wherein, S is that in one day, in certain unit interval section, user watches the accumulated weight value of certain behavior channel, by N continuous sky
Being divided into two stages, wherein the 1st day was the first stage to the 5th day, and the 6th day was second stage to the N days；
L is total natural law that user watches described behavior channel in described unit interval section in the first stage, and c is the first rank
In section, user watches the weighted value of described behavior channel in described unit interval section；
K is total natural law that user watches described behavior channel in described unit interval section in second stage, and b is second-order
In section, user watches the weighted value of described behavior channel in described unit interval section；
Wherein b ＞ c, and b+c=1；
Described data analysis module 3 calculate one day according to above-mentioned weight calculation formula in each all row of unit interval section
For the accumulated weight value of channel, and it is single that the behavior channel that each unit interval section accumulated weight value is maximum is respectively set as each
The preferable channel of bit time section；Wherein, if unit interval section exists the behavior frequency that two or more accumulated weight value is identical and maximum
Road, then in that day of viewing TV of being started shooting near user on the date and have accumulated weight value in this unit interval section maximum
Behavior channel as the preferable channel of this unit interval section.Concrete, as shown in the behavior channel information table of table 2, wherein N=
7,
| Date | The behavior channel of 18-19 point |
| February 1 | Channel A |
| February 2 | Channel B |
| February 3 | Channel C |
| February 4 | Channel A |
| February 5 | Channel B |
| February 6 | Channel A |
| February 7 | Channel B |
Table 2
Table 2 have recorded February 1 to the behavior channel of 18-19 this unit interval section of point on continuous 7 days of February 7, wherein February
No. 1 was the first stage to February 5, and February 6 was second stage to February 7；Set c=0.4, b=0.6, wherein in the first stage
It is respectively 2,2,1, in second stage at this unit interval of 18-19 point section user viewing channel A, channel B, total natural law of channel C
It is respectively 1,1,0 at this unit interval of 18-19 point section user viewing channel A, channel B, total natural law of channel C,
Then the accumulated weight value of channel A is: S=0.6 × 1+0.4 × 2=1.4,
Then the accumulated weight value of channel B is: S=0.6 × 1+0.4 × 2=1.4,
Then the accumulated weight value of channel C is: S=0.6 × 0+0.4 × 1=0.4,
Identical and maximum by the above-mentioned accumulated weight value being calculated channel A and channel B, now, February 7,18-19 point should
There is the behavior channel that accumulated weight value is maximum, i.e. channel B in unit interval section, and this unit interval section of 18-19 point on February 6 is also
There is the behavior channel that accumulated weight value is maximum, i.e. channel A, owing to February 7 compared February 6, February 7 was near user
That day of start, therefore, the preferable channel of this unit interval section of 18-19 point, this day other unit in channel B being set as one day
The preferable channel of time period generates according to upper type.When user started shooting between 18-19 point February 8, startup channel selects
Module 4 can select channel B to be startup channel.
Described step 3) generates preferable channel information table method particularly includes: when 2≤N≤5, described weight calculation
Formula is: S=M,
Wherein, S is that in one day, in certain unit interval section, user watches the accumulated weight value of certain behavior channel, M be the 1st day extremely
The total natural law watching described behavior channel in N days；
Described data analysis module 3 calculate one day according to above-mentioned weight calculation formula in each all row of unit interval section
For the accumulated weight value of channel, and it is single that the behavior channel that each unit interval section accumulated weight value is maximum is respectively set as each
The preferable channel of bit time section；Wherein, if unit interval section exists the behavior frequency that two or more accumulated weight value is identical and maximum
Road, then that day of viewing TV of the date being started shooting near user, and it is maximum to have accumulated weight value in described unit interval section
Behavior channel as the preferable channel of described unit interval section.Concrete is referred to the behavior channel information table that table 3 provides,
Concrete, as shown in the behavior channel information table of table 3, wherein N=4,
| Date | The behavior channel of 18-19 point |
| March 1 | Channel A |
| March 2 | Channel B |
| March 3 | Channel C |
| March 4 | Channel A |
Table 3
Table 3 have recorded March 1 to the behavior channel of 18-19 this unit interval section of point on continuous 4 days of March 4, wherein March
No. 1 to being respectively 2 at this unit interval of 18-19 point section user viewing channel A, channel B, total natural law of channel C in March 4,1,
1,
Then the accumulated weight value of channel A is: S=2,
Then the accumulated weight value of channel B is: S=1,
Then the accumulated weight value of channel C is: S=1,
Owing to the accumulated weight value of channel A is maximum, then this unit interval section of 18-19 point in channel A being set as a day
Preferable channel, the preferable channel of this day other unit time period generates according to upper type.When user March 5 18-19 point it
Between start time, startup channel select module 4 channel A can be selected to be startup channel.
Claims (3)
1. the method that an intelligent television startup channel automatically selects, it is characterised in that: described intelligent television includes data collection
Module, data memory module, data analysis module, startup channel select module；It is characterized in that: described method specifically include with
Lower step:
1), data collection module is when collecting that user watches TV every day in N continuous sky, and in each unit interval section, user watches
Total watch time of each channel, 11≤N≤15, described unit interval section is the time interval of adjacent two time integral points, institute
The channel that in stating unit interval section, total watch time is the longest is behavior channel；
2), data collection module the above-mentioned information collected is arranged, generate user in N continuous sky and watch TV every day
Behavior channel information table, and be sent to data memory module and store, described behavior channel information table record in N continuous sky
Every day each unit interval section behavior channel；
3), data analysis module calls in data memory module the behavior channel information table of storage, and according to behavior channel information
Table carries out weight calculation and generates preferable channel information table, and the preferable channel information table after generation is sent to data memory module to be carried out
Storage, the preferable channel of each unit interval section in record a day in described preferable channel information table, described preferable channel is
The behavior channel that in unit interval section, accumulated weight value is maximum；
4), user start shooting viewing TV time, startup channel select module determine the unit interval being currently located according to RTC clock
Section, automatically switches to should the preferable channel of unit interval section further according to preferable channel information table；
Described step 3) generates preferable channel information table method particularly includes: the formula of described weight calculation is: S=a × M+b
× K+c × L,
Wherein, S is that in one day, in certain unit interval section, user watches the accumulated weight value of certain behavior channel, is divided in N continuous sky
Three phases, wherein the 1st day was the first stage to the 5th day, and the 6th day to the 10th day is second stage, within the 11st day to the N days, was
Three stages.
L is total natural law that user watches described behavior channel in described unit interval section in the first stage, in c is the first stage
User watches the weighted value of described behavior channel in described unit interval section；
K is total natural law that user watches described behavior channel in described unit interval section in second stage, in b is second stage
User watches the weighted value of described behavior channel in described unit interval section；
M is total natural law that user watches described behavior channel in described unit interval section in the phase III, in a is the phase III
User watches the weighted value of described behavior channel in described unit interval section；
Wherein a ＞ b ＞ c, and a+b+c=1；
Described data analysis module calculate one day according to above-mentioned weight calculation formula in each unit interval section all behavior frequency
The accumulated weight value in road, and when the behavior channel that each unit interval section accumulated weight value is maximum is respectively set as each unit
Between the preferable channel of section；Wherein, if unit interval section exists the behavior channel that two or more accumulated weight value is identical and maximum, then
Date started shooting near user in that day of viewing TV and in this unit interval section, there is the behavior that accumulated weight value is maximum
Channel is as the preferable channel of this unit interval section.
2. the method that an intelligent television startup channel automatically selects, it is characterised in that: described intelligent television includes data collection
Module, data memory module, data analysis module, startup channel select module；It is characterized in that: described method specifically include with
Lower step:
1), data collection module is when collecting that user watches TV every day in N continuous sky, and in each unit interval section, user watches
Total watch time of each channel, 6≤N≤10, described unit interval section is the time interval of adjacent two time integral points, described
The channel that in unit interval section, total watch time is the longest is behavior channel；
2), data collection module the above-mentioned information collected is arranged, generate user in N continuous sky and watch TV every day
Behavior channel information table, and be sent to data memory module and store, described behavior channel information table record in N continuous sky
Every day each unit interval section behavior channel；
3), data analysis module calls in data memory module the behavior channel information table of storage, and according to behavior channel information
Table carries out weight calculation and generates preferable channel information table, and the preferable channel information table after generation is sent to data memory module to be carried out
Storage, the preferable channel of each unit interval section in record a day in described preferable channel information table, described preferable channel is
The behavior channel that in unit interval section, accumulated weight value is maximum；
4), user start shooting viewing TV time, startup channel select module determine the unit interval being currently located according to RTC clock
Section, automatically switches to should the preferable channel of unit interval section further according to preferable channel information table；
Described step 3) generates preferable channel information table method particularly includes: the formula of described weight calculation is: S=b × K+c
× L,
Wherein, S is that in one day, in certain unit interval section, user watches the accumulated weight value of certain behavior channel, is divided in N continuous sky
In two stages, wherein the 1st day was the first stage to the 5th day, and the 6th day was second stage to the N days；
L is total natural law that user watches described behavior channel in described unit interval section in the first stage, in c is the first stage
User watches the weighted value of described behavior channel in described unit interval section；
K is total natural law that user watches described behavior channel in described unit interval section in second stage, in b is second stage
User watches the weighted value of described behavior channel in described unit interval section；
Wherein b ＞ c, and b+c=1；
Described data analysis module calculate one day according to above-mentioned weight calculation formula in each unit interval section all behavior frequency
The accumulated weight value in road, and when the behavior channel that each unit interval section accumulated weight value is maximum is respectively set as each unit
Between the preferable channel of section；Wherein, if unit interval section exists the behavior channel that two or more accumulated weight value is identical and maximum, then
Date started shooting near user in that day of viewing TV and in this unit interval section, there is the behavior that accumulated weight value is maximum
Channel is as the preferable channel of this unit interval section.
3. the method that an intelligent television startup channel automatically selects, it is characterised in that: described intelligent television includes data collection
Module, data memory module, data analysis module, startup channel select module；It is characterized in that: described method specifically include with
Lower step:
1), data collection module is when collecting that user watches TV every day in N continuous sky, and in each unit interval section, user watches
Total watch time of each channel, 1≤N≤5, described unit interval section is the time interval of adjacent two time integral points, described
The channel that in unit interval section, total watch time is the longest is behavior channel；
2), data collection module the above-mentioned information collected is arranged, generate user in N continuous sky and watch TV every day
Behavior channel information table, and be sent to data memory module and store, described behavior channel information table record in N continuous sky
Every day each unit interval section behavior channel；
3), data analysis module calls in data memory module the behavior channel information table of storage, and according to behavior channel information
Table carries out weight calculation and generates preferable channel information table, and the preferable channel information table after generation is sent to data memory module to be carried out
Storage, the preferable channel of each unit interval section in record a day in described preferable channel information table, described preferable channel is
The behavior channel that in unit interval section, accumulated weight value is maximum；
4), user start shooting viewing TV time, startup channel select module determine the unit interval being currently located according to RTC clock
Section, automatically switches to should the preferable channel of unit interval section further according to preferable channel information table；Described step 3) generates
Preferable channel information table method particularly includes: the formula of described weight calculation is: S=M,
Wherein, S is that in one day, in certain unit interval section, user watches the accumulated weight value of certain behavior channel, M be the 1st day to N
Total natural law of described behavior channel is watched in it；
Described data analysis module calculate one day according to above-mentioned weight calculation formula in each unit interval section all behavior frequency
The accumulated weight value in road, and when the behavior channel that each unit interval section accumulated weight value is maximum is respectively set as each unit
Between the preferable channel of section；Wherein, if unit interval section exists the behavior channel that two or more accumulated weight value is identical and maximum, then
Date started shooting near user in that day of viewing TV and in this unit interval section, there is the behavior that accumulated weight value is maximum
Channel is as the preferable channel of this unit interval section.
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| CN103888836B (en) * | 2014-03-10 | 2018-04-06 | Tcl集团股份有限公司 | A kind of method and system of intelligent television startup channel selection |
| KR102224479B1 (en) * | 2014-04-22 | 2021-03-08 | 엘지전자 주식회사 | Display device and method for controlling the same |
| CN104363487A (en) * | 2014-11-11 | 2015-02-18 | 无锡科思电子科技有限公司 | STB (set top box) with function of automatic channel selection on startup |
| CN105376639A (en) * | 2015-11-12 | 2016-03-02 | 施德望 | Method and device for intelligently changing signal channels |
| CN105681906A (en) * | 2016-02-26 | 2016-06-15 | Tcl海外电子（惠州）有限公司 | Method and system for setting television turn-on parameters |
| TWI679894B (en) * | 2018-06-05 | 2019-12-11 | 香港商冠捷投資有限公司 | Method and television device for automatically selecting channel upon boot |
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| CN102957882A (en) * | 2011-08-29 | 2013-03-06 | 联想(北京)有限公司 | Television play control method, television play control device and television |
| CN102984482A (en) * | 2012-12-05 | 2013-03-20 | 深圳Tcl新技术有限公司 | Television channel sequencing method and device |
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| US20030084448A1 (en) * | 2001-10-26 | 2003-05-01 | Koninklijke Philips Electronics N.V. | Automatic viewing-history based television control system |
| US20110214147A1 (en) * | 2010-02-22 | 2011-09-01 | Kashyap Ashwin S | Method for determining content for a personal channel |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102843610A (en) * | 2011-06-23 | 2012-12-26 | 乐金电子(中国)研究开发中心有限公司 | TV (Television) channel sequencing method and TV set |
| CN102957882A (en) * | 2011-08-29 | 2013-03-06 | 联想(北京)有限公司 | Television play control method, television play control device and television |
| CN102833503A (en) * | 2012-09-14 | 2012-12-19 | 高亿实业有限公司 | Method and device for intelligently selecting channels of television |
| CN102984482A (en) * | 2012-12-05 | 2013-03-20 | 深圳Tcl新技术有限公司 | Television channel sequencing method and device |
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| TWI524749B (en) | 2016-03-01 |
| TW201509180A (en) | 2015-03-01 |
| CN103491440A (en) | 2014-01-01 |
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